Comprehensive report from Electronic Enthusiasts Network, at this year’s CES 2025, TCL unveiled the world’s modular AI companion robot——AiMe. The reason it is called modular is that it features a unique modular design, allowing the entire product to be divided into three parts, namely the main robot, an auxiliary mobile device, and a mini interactive device.The main robot is responsible for emotional companionship and intelligent interaction. Through biomimetic design, it completes a series of interactions with cute blinking and waving, and it has a camera on its head that can recognize the user’s emotions and change the robot’s eye expressions accordingly.Below is the auxiliary mobile device, which has wheels on its base to provide mobility, and it can monitor the home situation at night or when no one is around.The mini interactive device is a portable AI sensor and camera that can be clipped onto clothing like a pin, allowing for interaction with the robot at any time.This design allows the robot to no longer be limited to a specific space, adapting flexibly to different scenarios in the home, while also enhancing the robot’s flexibility and functional extensibility.It means that this robot can switch roles in different environments, sometimes serving as a child’s AI toy, and at other times as a patrolling security guard for the home.Additionally, the modular structure allows each module to be independently upgraded, extending the product’s lifespan.Interestingly, this robot can also perform emotion recognition, primarily relying on visual + millimeter-wave physiological signal analysis. Its main control chip uses the INDEMIND visual processing module, which has a binocular stereo vision chip, supporting real-time 3D environment modeling (with millimeter-level accuracy) and dynamic obstacle avoidance (with a 99.2% pass rate in complex terrains), integrating FSD (full-scene stereo perception) algorithms.It also has an AI co-processor, deploying a model with tens of billions of parameters for emotion recognition (with a library of 15 micro-expressions), gesture interaction, and semantic map construction.Of course, ordinary voice interaction is also supported, and it has built-in emotional algorithms that can actively interact with users, providing music playback, storytelling, and even generating and projecting AI-generated images and animations for children at bedtime. It can also serve as a home control center, linking devices such as air conditioners, lights, and air purifiers.However, currently, the modular robot needs to solve the real-time data synchronization issue among multiple modules, for example, some logistics modular robots need to coordinate data from multiple sensors like vision and LiDAR during dynamic obstacle avoidance, and the current technology still has a misjudgment rate of 5%-10% per person. Moreover, the modular design has higher requirements for battery life.Additionally, the industry also lacks unified communication protocols and interface standards. Although TCL AiMe is compatible with HarmonyOS and the Xiaomi ecosystem, there are still delays in interaction with some overseas smart home brands, approximately 1.2 seconds.In terms of adaptability in dynamic environments, modular robots still have certain limitations, such as low pass rates in crowded areas and spaces with multiple obstacles that are below expectations.For example, the success rate of Henan Cloud Logistics robots in delivery during rain and snow drops to 82%; TCL AiMe’s millimeter-wave obstacle avoidance technology has a mis-touch rate of 3% in narrow corridors.Currently, modular AI robots, with their flexibility, cost advantages, and scene adaptability, are becoming an important trend in fields such as healthcare, home services, and logistics. However, issues such as technology integration, lack of standardization, and safety risks still need to be overcome.But with the maturity of technologies like embodied intelligence, 5G, and new materials, modular design is expected to achieve large-scale applications between 2026 and 2030.
Disclaimer: This article is a comprehensive report from Electronic Enthusiasts Network, please indicate the source above when reprinting. For group discussions, please add WeChat elecfans999, for submission of interview requests, please send an email to [email protected].
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